PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?place ?placeLabel ( SAMPLE( ?populationVal ) AS ?population ) ?popDate ( SAMPLE( ?areaVal ) AS ?area ) WHERE {
  VALUES ?place {
    wd:Q884 wd:Q31057 wd:Q35555 wd:Q220982 wd:Q31063 wd:Q475038
  }
  {
    SELECT ?place ( MAX( ?d ) AS ?maxDate ) WHERE {
      ?place p:P1082 ?s .
      ?s pq:P585 ?d .
    }
    GROUP BY ?place
  }
  ?place p:P1082 ?popStmt .
  ?popStmt ps:P1082 ?populationVal .
  ?popStmt pq:P585 ?popDate .
  FILTER ( ?popDate = ?maxDate ) OPTIONAL {
    ?place p:P2046 ?areaStmt .
    ?areaStmt ps:P2046 ?areaVal .
    FILTER NOT EXISTS {
      ?areaStmt pq:P518 ?appliesTo .
      ?appliesTo wdt:P31 ?atype .
      FILTER ( ?atype IN ( wd:Q187223 , wd:Q9259 , wd:Q64364418 , wd:Q389717 , wd:Q80389 ) )
    }
  }
  OPTIONAL {
    ?place rdfs:label ?placeLabel .
    FILTER ( lang( ?placeLabel ) = "en" )
  }
}
GROUP BY ?place ?placeLabel ?popDate
ORDER BY ?placeLabel

Results (each row: Wikidata IRI, English label, population, population date, area in km²):

- wd:Q31063 — Christmas Island: population 1692; population date 2021-08-10T00:00:00Z; area 135
- wd:Q475038 — Galápagos Province: population 28583; population date 2022-01-01T00:00:00Z; area 8010
- wd:Q31057 — Norfolk Island: population 1739; population date 2021-08-10T00:00:00Z; area 34.6
- wd:Q884 — South Korea: population 51628117; population date 2022-01-01T00:00:00Z; area 100295
- wd:Q220982 — Tristan da Cunha: population 246; population date 2019-01-01T00:00:00Z; area 207
- wd:Q35555 — Wallis and Futuna: population 11558; population date 2018-01-01T00:00:00Z; area 274

Notes on method and exclusions:
- I queried Wikidata for the six specified items and selected the population statements (P1082) with the latest point-in-time qualifier (P585) per item.
- For area I used the area property (P2046) but excluded area statements that have an "applies to part (of)" qualifier (P518) whose object is an instance of any of: lagoon (wd:Q187223), World Heritage Site (wd:Q9259), UNESCO World Heritage Site buffer zone (wd:Q64364418), Kuril Islands dispute (wd:Q389717), or Kuril Islands (wd:Q80389). This follows your request to exclude areas that apply to lagoons, World Heritage Sites, UNESCO buffer zones, and the Kuril Islands dispute when such qualifiers exist.
- Where multiple statements matched the latest population date or multiple non-excluded area statements existed, the query aggregated with SAMPLE to return one value per field; if you need to prefer "preferred rank" statements explicitly I can refine the query further.
- All values come directly from Wikidata; population dates are the P585 qualifier datetimes associated with the population statements.

What are the distinct entities among South Korea, Norfolk Island, Wallis and Futuna, Tristan da Cunha, Christmas Island, and Galápagos Province, along with their population, area in square kilometers, and the date of the population data? Please only consider the latest available population date, and exclude areas that apply to lagoons, World Heritage Sites, UNESCO World Heritage Site buffer zones, and the Kuril Islands dispute, if this information is available.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the distinct entities among South Korea, Norfolk Island, Wallis and Futuna, Tristan da Cunha, Christmas Island, and Galápagos Province, along with their population, area in square kilometers, and the date of the population data? Please only consider the latest available population date, and exclude areas that apply to lagoons, World Heritage Sites, UNESCO World Heritage Site buffer zones, and the Kuril Islands dispute, if this information is available.

[Assistant] Step 1: I'll search Wikidata for the entities to get their QIDs (identifiers) so I can query their population and area data reliably. I'll search each name: "South Korea", "Norfolk Island", "Wallis and Futuna", "Tristan da Cunha", "Christmas Island", "Galápagos Province". I'll use the search_entity tool and explain the findings. Then I'll build the SPARQL query to get, per entity, its area (P2046), population statements (P1082) with point in time (P585), selecting only the latest point in time per entity, and filter out area statements that are about lagoons, World Heritage Sites, UNESCO buffer zones, or the Kuril Islands dispute if such qualifiers or statements exist. I'll iterate if needed. Now I'll search for the entities.

[Tool]
Top 10 entity alternatives:
1. South Korea, also known as ROK, Korea (South), Republic of Korea, Rep. Korea, kr (wd:Q884): instance of constitutional republic, instance of government agency, instance of sovereign state, country in East Asia, instance of country
2. Korea & world affairs, also known as Korea (South) (wd:Q27718719): instance of scientific journal, journal
3. South Korea. (wd:Q47320268): scientific article published in April 1991, instance of scholarly article
4. South Korea (wd:Q74206439): journal article; published in Nature on 2015-08-12, instance of scholarly article
5. South Korea (wd:Q71873974): journal article; published in Nature on 2005-10-01, instance of scholarly article
6. South Korea (wd:Q64384833): instance of scholarly article, scholarly article
7. South Korea (wd:Q58089875): 1966 scholarly article published in Adelphi Papers, instance of scholarly article
8. South Korea (wd:Q57212880): 2015 scholarly article published in Nature vol 519, issue 7544, instance of scholarly article
9. South Korea (wd:Q39457546): scientific article published on 24 August 2016, instance of scholarly article
10. [South] Korea (wd:Q50700327): scientific article published in April 1987, instance of scholarly article

[Assistant] South Korea is wd:Q884. Now Norfolk Island.

[Tool]
Top 10 entity alternatives:
1. Norfolk Island, also known as Norfolk Island, Other Territories, Australia, Territory of Norfolk Island, Norfolk Island, Other Territories, Norfolk Island, Australia (wd:Q31057): external territory of Australia in the South Pacific Ocean, consisting of the island of the same name plus neighbouring islands, instance of external territory of Australia, instance of territory of Australia
2. Santa Cruz Island, also known as Isla Santa Cruz, Santa Cruz, San Clemente Island, San Clemente Is., San Clemente I. (wd:Q713127): island of the Galápagos Islands, instance of island
3. Norfolk Island Airport, also known as YSNF, NORFOLK ISLAND, Norfolk Island International Airport, NLK (wd:Q2732089): instance of commercial traffic aerodrome, airport on Norfolk Island, Australia, instance of airport
4. Norfolk Island (wd:Q8437343): main island in the group of islands comprising the Australian ex...d in the South Pacific Oceanic between Australia and New Zealand, instance of island
5. Norfolk Island (wd:Q106581254): island of Ullswater, in Patterdale, Eden, Cumbria, England, instance of island
6. Norfolk Island∗ (wd:Q58544332): instance of scholarly article
7. Norfolk Island (wd:L495582-S1)
8. Norfolk Island (wd:L254476-F1)
9. Norfolk Island (wd:L254476): instance of endocentric compound, instance of toponym
10. Kingston, also known as Kingston, Norfolk Island (wd:Q30963): capital of Norfolk Island, Australia, instance of city

[Assistant] Norfolk Island is wd:Q31057. Now Wallis and Futuna.

[Tool]
Top 10 entity alternatives:
1. Wallis and Futuna, also known as Wallis & Futuna, Wallis and Futuna Islands (wd:Q35555): instance of overseas collectivity of France, overseas collectivity of France
2. Wallis and Futuna (wd:L495659-S1)
3. Wallis and Futuna (wd:L254106-F1)
4. Wallis and Futuna (wd:L254106)
5. flag of Wallis and Futuna, also known as Wallis and Futuna flag (wd:Q317660): instance of flag of a country subdivision, official flag of Wallis and Futuna
6. Vaitupu, Wallis and Futuna (wd:Q4007286): Village of Wallis and Futuna, France, instance of human settlement
7. Vele, Wallis and Futuna (wd:Q7918875): Village in Wallis and Futuna, France, instance of human settlement
8. Tamana, Wallis and Futuna (wd:Q3980555): instance of human settlement, human settlement in France
9. Tavai, Wallis and Futuna (wd:Q7688993): instance of human settlement, human settlement in France
10. geography of Wallis and Futuna, also known as Wallis and Futuna geography (wd:Q9267051): instance of geography of geographic location, Geographical features of French territory

[Assistant] Wallis and Futuna is wd:Q35555. Now Tristan da Cunha.

[Tool]
Top 10 entity alternatives:
1. Tristan da Cunha, also known as Tristan d'Acunha, Tristan, TA, 🇹🇦 (wd:Q220982): instance of first-level administrative division, instance of administrative territorial entity, South Atlantic island group, instance of island group
2. Tristan da Cunha, also known as Tristan da Cunha Island, Tristan Island (wd:Q2454241): main island of the Tristan da Cunha island group, instance of volcano, instance of island
3. Tristan da Cunha (wd:Q76320996): scientific article published on 01 February 2004, instance of scholarly article
4. Tristan da Cunha (wd:Q56852041): instance of scholarly article
5. Tristan da Cunha (wd:Q58984165): scientific article published in Nature, instance of scholarly article
6. Tristan da Cunha (wd:Q74822950): scientific article published on 01 January 1958, instance of scholarly article
7. TRISTAN DA CUNHA (wd:Q84926195): scientific article published on August 27, 2010, instance of scholarly article
8. flag of Tristan da Cunha, also known as Tristan da Cunha flag (wd:Q818665): flag of the island group of Tristan da Cunha, instance of flag of a country subdivision
9. Tristan hotspot, also known as Tristan da Cunha hotspot (wd:Q7844153): volcanic hotspot in the Atlantic Ocean, instance of hotspot
10. geography of Tristan da Cunha, also known as Tristan da Cunha geography (wd:Q5535246)

[Assistant] Tristan da Cunha is wd:Q220982. Now Christmas Island. Note there is Christmas Island (Indian Ocean, Australian external territory) and Kiritimati (Line Islands) — user likely means Christmas Island (Australian). We'll search.

[Tool]
Top 10 entity alternatives:
1. Christmas Island, also known as Territory of Christmas Island, cx, Christmas Island, Other Territories, Australia, Christmas Island, Other Territories (wd:Q31063): island and external territory of Australia, located in the Indian Ocean, instance of administrative territorial entity, instance of external territory of Australia, instance of island
2. Kiritimati, also known as Christmas Island (wd:Q193331): coral atoll in the northern Line Islands, Kiribati, instance of island, instance of atoll
3. Christmas Island Airport, also known as CHRISTMAS ISLAND, YPXM, XCH, Christmas Island International Airport (wd:Q1035011): instance of commercial traffic aerodrome, airport on Christmas Island, instance of airport
4. Christmas Island (wd:Q1383873): island in the Great Australian Bight, part of the New Year Islands, Tasmania, instance of island
5. Christmas Island, also known as Christmas Island, Nova Scotia (wd:Q1386670): human settlement in Nova Scotia, Canada, instance of General Service Area
6. Christmas Island (wd:Q113945903): 1988 studio album by Leon Redbone, instance of album
7. Christmas Island (wd:Q16958110): 2014 studio album by Andrew Jackson Jihad, instance of album
8. Christmas Island (wd:Q22498684): island in Eskasoni First Nation, Nova Scotia, Canada, instance of island
9. Christmas Island (wd:Q22498694): island in namesake community in Cape Breton Regional Municipality, Nova Scotia, Canada, instance of island
10. Christmas Island (wd:Q22498706): island in Muskoka District Municipality, Ontario, Canada (lat 45.04, lon -79.47), instance of island

[Assistant] Christmas Island (Indian Ocean territory) is wd:Q31063. Now Galápagos Province — likely a province of Ecuador, Q167250? Let's search.

[Tool]
Top 10 entity alternatives:
1. Galápagos Province, also known as Galapagos Province (wd:Q475038): instance of integral overseas territory, instance of province of Ecuador, province of Ecuador
2. Galapagos marine province (wd:Q107540103): bio-geographic province in MEOW scheme, instance of MEOW marine province
3. province, also known as provinces (wd:Q34876)
4. Galapagos Islands, also known as Gallapagos I., Gallapagos Isl., Gallapagos Islands, I. Gallapagos, Inchanted Islands (wd:Q38095): Archipelago in the Pacific Ocean, part of Ecuador since 1832, instance of tourist attraction, instance of WWF ecoregion, instance of archipelago
5. oblast, also known as voblast, voblasts, province, oblyst (wd:Q171308)
6. eyalet, also known as Pashalik, province, Pashaluk, Pashalic (wd:Q44565)
7. historical province of France, also known as province of France, Provinces of France, Province (wd:Q209495)
8. Galápagos (wd:Q954018): instance of municipality of Spain, municipality of Spain
9. vilayet, also known as vilayet of the Ottoman Empire, province (wd:Q1462047)
10. Galápagos, also known as Galapagos (wd:Q2527126): instance of literary work, novel by Kurt Vonnegut

[Assistant]
Galápagos Province is wd:Q475038. I have all QIDs: South Korea Q884, Norfolk Island Q31057, Wallis and Futuna Q35555, Tristan da Cunha Q220982, Christmas Island Q31063, Galápagos Province Q475038.

Next step: find area property P2046 and population P1082 usage. Need latest population date (P585 qualifier). Also area statements might have qualifiers indicating "applies to" or "applies to part" or "applies to UNESCO World Heritage site" etc. User asks to exclude areas that apply to lagoons, World Heritage Sites, UNESCO World Heritage Site buffer zones, and the Kuril Islands dispute, if this info is available. In Wikidata, area statements sometimes have "applies to part" (P518) or "applies to jurisdiction" etc. For World Heritage Sites, items might be instance_of UNESCO World Heritage Site (P31 Q9259) — but for area statements we can check qualifiers like "applies to part" (P518) referencing such site. Also there is property "applies to" P518 indeed.

But easier: get area statements (wdt:P2046 gives direct area value without qualifiers). But wdt returns only preferred statement value; if a statement is specifically about a region like lagoon, it might still be in wdt. However user asked to exclude areas that apply to lagoons, WHS, buffer zones, Kuril Islands dispute — "if this information is available." So we should try to prefer area statements that don't have qualifier P2283? No.

We must include qualifiers — so instead of using wdt:P2046, we need to fetch p:P2046 statements and check qualifiers like pq:P518 (applies to part), ps:P2046 (value), pq:P585 (point in time?) But area statements usually have qualifier "applies to part" P518 with an entity like "lagoon". Also there is property "applies to" P518 used for population? Actually P518 is "applies to part (of)". Also "applies to part" is P518 indeed. For UNESCO buffer zone, maybe qualifiers like P518 as well. For Kuril Islands dispute, there is property "territorial dispute" P47? Hmm.

Given complexity, we will retrieve area statements and their qualifiers, and then filter out statements where P518 (applies to part) objects are instances of "lagoon" or "UNESCO World Heritage Site" or "World Heritage Site" or mention "buffer zone" or "Kuril Islands" — We can filter by checking whether the P518 value has instance of (P31) some classes: lagoon (wd:Q23397?), UNESCO World Heritage Site (wd:Q9259), buffer zone maybe "protected area buffer zone"? There is item "buffer zone" maybe Q1040186? And "Kuril Islands" item is Q34591. Also "World Heritage Site" (Q9259). Lagoon: 'lagoon' wd:Q23397 yes. UNESCO World Heritage Site as concept Q9259.

So plan:

- For each entity Q, get area statements (p:P2046) with ps:P2046 ?areaValue; optional pq:P518 ?appliesToPart. Exclude where ?appliesToPart is instance of lagoon OR instance of World Heritage Site OR is subclass of buffer zone OR equals Kuril Islands or is part of Kuril Islands dispute. How to detect Kuril Islands dispute? There might be qualifier "territorial dispute" P30? Not sure.

The user says "exclude areas that apply to lagoons, World Heritage Sites, UNESCO World Heritage Site buffer zones, and the Kuril Islands dispute, if this information is available." So we can exclude area statements where ?appliesToPart has P31/wdt:P31 value in (wd:Q23397 (lagoon), wd:Q9259 (UNESCO World Heritage Site), wd:Q23002007? But buffer zone item maybe "buffer zone (protected area)" Q??? Let's search for buffer zone item.
I'll search for items for "lagoon", "UNESCO World Heritage Site", "buffer zone", and "Kuril Islands" to use in filters.

[Tool]
Top 10 entity alternatives:
1. lagoon, also known as liman, haff, albufera (wd:Q187223)
2. liman, also known as lagoon (wd:Q156030)
3. Lagoon (wd:Q6472552): instance of video game, 1990 video game
4. lagoon, also known as nose (wd:Q61861051)
5. Lagoon Amusement Park, also known as Lagoon (wd:Q3216196): amusement park in Farmington, Utah, United States, instance of amusement park
6. Lagoon (wd:Q21955158): lake in Australia, instance of lake
7. Lagoon (wd:Q48815704): 2014 africanfuturist novel by Nnedi Okorafor, instance of literary work
8. lagoon (wd:Q4990444)
9. Kimi no Matsu Sekai, also known as Lagoon (wd:Q20726599): instance of single, song by Lagoon
10. Clematis macropetala 'Lagoon', also known as Lagoon (wd:Q83638699): instance of Clematis cultivar, Clematis cultivar

[Tool]
Top 10 entity alternatives:
1. UNESCO World Heritage Site buffer zone (wd:Q64364418)
2. World Heritage Site buffer zones: Statements of fact or aspiration? (wd:Q58526085): scholarly article by Sally M. Foster published in January 2002, instance of scholarly article
3. cultural heritage, also known as cultural assets, world heritage, Social heritage, culture legacy, cultural legacy (wd:Q210272)
4. buffer zone (wd:Q1054581)
5. historic district, also known as heritage area, historic districts, historic center, heritage zone, heritage district (wd:Q15243209)
6. Heritage Zone, also known as Historic Zone, Historic District, Historic Center, Heritage District (wd:Q40720162)
7. Preservation and management of a...culture Farm and its buffer zone (wd:Q126281630): scientific article published in 2020, instance of scholarly article
8. World Heritage (wd:Q27044374): 2016 documentary film directed by Sebastian Mihailescu, instance of short film
9. World Heritage Site, also known as World Heritage List Site, WHS, World heritage site, Patrimonio de la Humanidad, United Nations Educational, Scie...ion (UNESCO) World Heritage Site (wd:Q9259)
10. Cusco, also known as Qosqo, Imperial city of Cusco, Imperial City of the Cuzco, Imperial City of the Cusco, Imperial city of Cuzco (wd:Q5582862): historic city of Peru, capital of the Department of Cusco, instance of historic district, instance of urban area, instance of big city, instance of city

[Tool]
Top 10 entity alternatives:
1. Kuril Islands, also known as Chishima Islands, Kurile Islands (wd:Q80389): island chain located in Northeast Asia administered by Russia, instance of disputed territory, instance of archipelago
2. Kuril Islands (wd:Q20870255): scholarly article by Aleksandr Polonskiy, instance of scholarly article
3. Kuril Islands (wd:Q115925578): instance of Wikimedia permanent duplicate item, Wikimedia permental duplicated item page
4. Kuril Islands dispute, also known as Defence of the Kuril Islands, Northern Territories dispute (wd:Q389717): disagreement between Japan and Russia over sovereignty of the South Kuril Islands, instance of territorial dispute
5. South Kuril Islands, also known as Hoppo Region, South Kurils, Southern Kuriles, Minami chishima, Etorofu, Habomai, Kunashiri and Shikotan Islands (wd:Q11401819): southern part of the Greater Kuril Ridge, controlled by Russia, claimed by Japan, instance of disputed territory, instance of island group, instance of archipelago
6. 2006 Kuril Islands earthquake, also known as Japan and Russia on tsunami alert (wd:Q3272771): instance of Wikinews article, instance of natural disaster, instance of earthquake, instance of disaster, earthquake in Japan
7. 2007 Kuril Islands earthquake (wd:Q3274126): earthquake occurred east of the Kuril Islands on 13 January 2007, instance of natural disaster, instance of earthquake, instance of disaster
8. 1994 Kuril Islands earthquake, also known as 1994 Hokkaidō-tōhōoki earthquake (wd:Q4589533): instance of earthquake, earthquake in Japan
9. 1963 Kuril Islands earthquake (wd:Q4571134): earthquake east of the Kuril Islands, Soviet Union, instance of earthquake
10. 2020 Kuril Islands earthquake (wd:Q88644582): instance of natural disaster, instance of earthquake, instance of disaster

[Assistant] I'll check area and population statements for one entity (South Korea) to see how these properties are represented (whether normalized values are available and whether qualifiers like applies to part appear). I'll list statements for South Korea for properties P1082 (population) and P2046 (area).

[Tool]
Got 1 row and 3 columns:
| subject               | property               | object                 |
| --------------------- | ---------------------- | ---------------------- |
| South Korea (wd:Q884) | population (wdt:P1082) | 51466201 (xsd:decimal) |

[Tool]
Got 1 row and 3 columns:
| subject               | property         | object               |
| --------------------- | ---------------- | -------------------- |
| South Korea (wd:Q884) | area (wdt:P2046) | 100295 (xsd:decimal) |

[Assistant] I'll query the statements for population (P1082) for South Korea to see how point-in-time qualifiers are represented (psv/pq) so I can correctly select the latest population and its date.

[Tool]
Got 50 rows and 4 columns, showing the first 5 and last 5 rows below:
| stmt                                        | pop                    | popDate                             | popDateNorm                        |
| ------------------------------------------- | ---------------------- | ----------------------------------- | ---------------------------------- |
| s:Q884-02476A81-4F18-4049-BEFF-403EE58510CE | 34692266 (xsd:decimal) | 1974-01-01T00:00:00Z (xsd:dateTime) | v:a793368c2cf4794eb533801067d65af6 |
| s:Q884-056256a7-4bd3-b50f-addf-dc0d65b599f7 | 51270000 (xsd:decimal) | 2016-01-01T00:00:00Z (xsd:dateTime) | v:1c9fe637057405012e082f12398b9b16 |
| s:Q884-05655299-EA4A-4330-9847-B75E5A02B75C | 37534236 (xsd:decimal) | 1979-01-01T00:00:00Z (xsd:dateTime) | v:9965b1518caf68dff81f107c21559669 |
| s:Q884-07099881-6106-40D1-9CC7-C4BFA5A09209 | 44194628 (xsd:decimal) | 1993-01-01T00:00:00Z (xsd:dateTime) | v:ad9cd7f82850a5e63e507f6c5bf3f424 |
| s:Q884-0924D6B3-DB1D-4B1D-A35E-356ADD99721A | 46616677 (xsd:decimal) | 1999-01-01T00:00:00Z (xsd:dateTime) | v:5417729bee0a4f472463cb37256f194b |
| ...                                         | ...                    | ...                                 | ...                                |
| s:Q884-D35E8D67-2B4B-4AB2-BF2B-3341B4FD6C8E | 48039415 (xsd:decimal) | 2004-01-01T00:00:00Z (xsd:dateTime) | v:36fb978cd4a04fe24d2de88f00919398 |
| s:Q884-D526F8EA-8790-4650-B410-84D6B9D01B98 | 40805744 (xsd:decimal) | 1985-01-01T00:00:00Z (xsd:dateTime) | v:3dd2104d3ff398597646d4a9a5580ce7 |
| s:Q884-D574DD58-6159-4479-AA69-287D27B36047 | 42449038 (xsd:decimal) | 1989-01-01T00:00:00Z (xsd:dateTime) | v:d616c64d4ff3e7f2dca084985058e0f8 |
| s:Q884-D6CE2831-84AE-4A0D-8299-4AB27BDF3531 | 35848523 (xsd:decimal) | 1976-01-01T00:00:00Z (xsd:dateTime) | v:da85f62570b05565773b27c3358dd7a4 |
| s:Q884-DA278ACE-7279-47B0-AB1C-87C081FB0594 | 45953580 (xsd:decimal) | 1997-01-01T00:00:00Z (xsd:dateTime) | v:6f5bff05bc2429a720aaf5a7b1d711e8 |

[Assistant] Now I'll execute a SPARQL query that (1) selects the six entities by QID, (2) finds the latest population statement (P1082 with qualifier P585) per entity, and (3) gets area statements (P2046) while excluding area statements that apply to parts that are lagoons, World Heritage Sites, UNESCO World Heritage Site buffer zones, or the Kuril Islands dispute (by checking P518 -> P31). I will then run the query to verify results.

[Tool]
Got 8 rows and 5 columns:
| place                           | placeLabel              | population             | popDate                             | area                  |
| ------------------------------- | ----------------------- | ---------------------- | ----------------------------------- | --------------------- |
| Christmas Island (wd:Q31063)    | Christmas Island (en)   | 1692 (xsd:decimal)     | 2021-08-10T00:00:00Z (xsd:dateTime) | 135 (xsd:decimal)     |
| Galápagos Province (wd:Q475038) | Galápagos Province (en) | 28583 (xsd:decimal)    | 2022-01-01T00:00:00Z (xsd:dateTime) | 8010 (xsd:decimal)    |
| Galápagos Province (wd:Q475038) | Galápagos Province (en) | 28583 (xsd:decimal)    | 2022-01-01T00:00:00Z (xsd:dateTime) | 8233.11 (xsd:decimal) |
| Norfolk Island (wd:Q31057)      | Norfolk Island (en)     | 1739 (xsd:decimal)     | 2021-08-10T00:00:00Z (xsd:dateTime) | 34.6 (xsd:decimal)    |
| Norfolk Island (wd:Q31057)      | Norfolk Island (en)     | 2188 (xsd:decimal)     | 2021-08-10T00:00:00Z (xsd:dateTime) | 34.6 (xsd:decimal)    |
| South Korea (wd:Q884)           | South Korea (en)        | 51628117 (xsd:decimal) | 2022-01-01T00:00:00Z (xsd:dateTime) | 100295 (xsd:decimal)  |
| Tristan da Cunha (wd:Q220982)   | Tristan da Cunha (en)   | 246 (xsd:decimal)      | 2019-01-01T00:00:00Z (xsd:dateTime) | 207 (xsd:decimal)     |
| Wallis and Futuna (wd:Q35555)   | Wallis and Futuna (en)  | 11558 (xsd:decimal)    | 2018-01-01T00:00:00Z (xsd:dateTime) | 274 (xsd:decimal)     |

[Tool]
Got 5 rows and 4 columns:
| stmt                                          | pop                | popDate                             | rank                   |
| --------------------------------------------- | ------------------ | ----------------------------------- | ---------------------- |
| s:Q31057-150A74DC-D354-4DD1-8035-A9413A6C5D4C | 2601 (xsd:decimal) | 2001-01-01T00:00:00Z (xsd:dateTime) | wikibase:NormalRank    |
| s:Q31057-158E6F36-67DE-45F5-ACFC-C2A03D7FA88B | 1739 (xsd:decimal) | 2021-08-10T00:00:00Z (xsd:dateTime) | wikibase:NormalRank    |
| s:Q31057-190EEDE8-AFD8-478A-9676-D080DF0DFD78 | 2302 (xsd:decimal) | 2011-01-01T00:00:00Z (xsd:dateTime) | wikibase:NormalRank    |
| s:Q31057-7b215c65-4933-7672-b5cc-cb12cdabcf8b | 1748 (xsd:decimal) | 2016-01-01T00:00:00Z (xsd:dateTime) | wikibase:NormalRank    |
| s:Q31057-C0D532C3-F0E4-4B68-9DD5-B4FE7BEA3906 | 2188 (xsd:decimal) | 2021-08-10T00:00:00Z (xsd:dateTime) | wikibase:PreferredRank |

[Assistant]
I'll run a refined SPARQL query that:
- Uses the six QIDs.
- Finds the latest population date per place.
- Selects the population statement for that date, preferring any Preferred-rank statement when multiple exist for the same date.
- Selects an area (P2046) that does not apply to lagoons, World Heritage sites, UNESCO World Heritage Site buffer zones, or the Kuril Islands dispute (by checking P518 -> P31), and prefers a Preferred-rank area statement when available.
Now I'll execute the query to retrieve one population and (if available) one area per entity.

[Tool]
Got 1 row and 5 columns:
| place                 | placeLabel       | population             | popDate                             | area                 |
| --------------------- | ---------------- | ---------------------- | ----------------------------------- | -------------------- |
| South Korea (wd:Q884) | South Korea (en) | 51628117 (xsd:decimal) | 2022-01-01T00:00:00Z (xsd:dateTime) | 100295 (xsd:decimal) |

[Assistant] I'll run a SPARQL query that for the six places finds the latest population (by point in time P585) and a non-excluded area (P2046) while excluding area statements that apply to parts of lagoons, World Heritage Sites, UNESCO buffer zones, or the Kuril Islands dispute. I'll aggregate area with SAMPLE to return one area per place. I'll execute this query now.

[Tool]
SPARQL execution failed:
Invalid SPARQL query: The target ?area of an AS clause was already used in the query body.

[Tool]
Got 7 rows and 5 columns:
| place                           | placeLabel              | population             | popDate                             | area                 |
| ------------------------------- | ----------------------- | ---------------------- | ----------------------------------- | -------------------- |
| Christmas Island (wd:Q31063)    | Christmas Island (en)   | 1692 (xsd:decimal)     | 2021-08-10T00:00:00Z (xsd:dateTime) | 135 (xsd:decimal)    |
| Galápagos Province (wd:Q475038) | Galápagos Province (en) | 28583 (xsd:decimal)    | 2022-01-01T00:00:00Z (xsd:dateTime) | 8010 (xsd:decimal)   |
| Norfolk Island (wd:Q31057)      | Norfolk Island (en)     | 1739 (xsd:decimal)     | 2021-08-10T00:00:00Z (xsd:dateTime) | 34.6 (xsd:decimal)   |
| Norfolk Island (wd:Q31057)      | Norfolk Island (en)     | 2188 (xsd:decimal)     | 2021-08-10T00:00:00Z (xsd:dateTime) | 34.6 (xsd:decimal)   |
| South Korea (wd:Q884)           | South Korea (en)        | 51628117 (xsd:decimal) | 2022-01-01T00:00:00Z (xsd:dateTime) | 100295 (xsd:decimal) |
| Tristan da Cunha (wd:Q220982)   | Tristan da Cunha (en)   | 246 (xsd:decimal)      | 2019-01-01T00:00:00Z (xsd:dateTime) | 207 (xsd:decimal)    |
| Wallis and Futuna (wd:Q35555)   | Wallis and Futuna (en)  | 11558 (xsd:decimal)    | 2018-01-01T00:00:00Z (xsd:dateTime) | 274 (xsd:decimal)    |

[Tool]
Got 1 row and 5 columns:
| place                 | placeLabel       | population             | popDate                             | area                 |
| --------------------- | ---------------- | ---------------------- | ----------------------------------- | -------------------- |
| South Korea (wd:Q884) | South Korea (en) | 51628117 (xsd:decimal) | 2022-01-01T00:00:00Z (xsd:dateTime) | 100295 (xsd:decimal) |

[Assistant] I'll run a final SPARQL query that returns, for each of the six items, the item IRI, English label, the latest population value with its point-in-time date, and an area in km² (excluding area statements that apply to lagoons, World Heritage Sites, UNESCO World Heritage Site buffer zones, or the Kuril Islands dispute when such qualifiers exist). I will prefer 'preferred' population or area statements when available. I'll execute the query to get concrete results.

[Tool]
Got 1 row and 5 columns:
| place                 | placeLabel       | population             | popDate                             | area                 |
| --------------------- | ---------------- | ---------------------- | ----------------------------------- | -------------------- |
| South Korea (wd:Q884) | South Korea (en) | 51628117 (xsd:decimal) | 2022-01-01T00:00:00Z (xsd:dateTime) | 100295 (xsd:decimal) |

[Assistant] I'll run a final SPARQL query that returns, for each of the six items (by QID), the item IRI, English label, the latest population value with its point-in-time date, and an area in km². The query will prefer PreferredRank population/area statements when present, and will exclude area statements that apply to lagoons, World Heritage Sites, UNESCO World Heritage Site buffer zones, or the Kuril Islands dispute by checking P518 -> P31. I'll execute this query to verify the results.

[Tool]
Call to function execute returned an error:
failed to parse input: parse error at position 627 for token PNAME_LN with content 'wikibase:rank' (the input most likely does not follow the grammar)

[Tool]
Got 6 rows and 3 columns:
| place                           | placeLabel              | pop                    |
| ------------------------------- | ----------------------- | ---------------------- |
| Christmas Island (wd:Q31063)    | Christmas Island (en)   | 1692 (xsd:decimal)     |
| Galápagos Province (wd:Q475038) | Galápagos Province (en) | 28583 (xsd:decimal)    |
| Norfolk Island (wd:Q31057)      | Norfolk Island (en)     | 2188 (xsd:decimal)     |
| South Korea (wd:Q884)           | South Korea (en)        | 51466201 (xsd:decimal) |
| Tristan da Cunha (wd:Q220982)   | Tristan da Cunha (en)   | 246 (xsd:decimal)      |
| Wallis and Futuna (wd:Q35555)   | Wallis and Futuna (en)  | 11558 (xsd:decimal)    |

[Assistant] Now I'll run a SPARQL query that, for the six specified entities, finds the latest population (value and point-in-time) and selects an area (P2046) excluding area statements that apply to lagoons, World Heritage Sites, UNESCO buffer zones, or the Kuril Islands dispute when such qualifiers exist. The query prefers preferred-ranked population statements when multiple statements exist for the same latest date. I'll execute this query.

[Tool]
Got 1 row and 5 columns:
| place                 | placeLabel       | population             | popDate                             | area                 |
| --------------------- | ---------------- | ---------------------- | ----------------------------------- | -------------------- |
| South Korea (wd:Q884) | South Korea (en) | 51628117 (xsd:decimal) | 2022-01-01T00:00:00Z (xsd:dateTime) | 100295 (xsd:decimal) |

[Tool]
SPARQL execution failed:
Invalid SPARQL query: The target ?population of an AS clause was already used in the query body.

[Assistant]
I'll run a SPARQL query that:
- Uses the six items by QID,
- Finds the latest population date (P1082 with qualifier P585) per item,
- Returns one population value for that latest date and one area value (P2046) that does not apply to excluded types (lagoon, World Heritage Site, UNESCO buffer zone, Kuril Islands dispute) by checking P518 -> P31,
- Returns the item IRIs and English labels.

Now I will execute that query.

[Tool]
Got 6 rows and 5 columns:
| place                           | placeLabel              | population             | popDate                             | area                 |
| ------------------------------- | ----------------------- | ---------------------- | ----------------------------------- | -------------------- |
| Christmas Island (wd:Q31063)    | Christmas Island (en)   | 1692 (xsd:decimal)     | 2021-08-10T00:00:00Z (xsd:dateTime) | 135 (xsd:decimal)    |
| Galápagos Province (wd:Q475038) | Galápagos Province (en) | 28583 (xsd:decimal)    | 2022-01-01T00:00:00Z (xsd:dateTime) | 8010 (xsd:decimal)   |
| Norfolk Island (wd:Q31057)      | Norfolk Island (en)     | 1739 (xsd:decimal)     | 2021-08-10T00:00:00Z (xsd:dateTime) | 34.6 (xsd:decimal)   |
| South Korea (wd:Q884)           | South Korea (en)        | 51628117 (xsd:decimal) | 2022-01-01T00:00:00Z (xsd:dateTime) | 100295 (xsd:decimal) |
| Tristan da Cunha (wd:Q220982)   | Tristan da Cunha (en)   | 246 (xsd:decimal)      | 2019-01-01T00:00:00Z (xsd:dateTime) | 207 (xsd:decimal)    |
| Wallis and Futuna (wd:Q35555)   | Wallis and Futuna (en)  | 11558 (xsd:decimal)    | 2018-01-01T00:00:00Z (xsd:dateTime) | 274 (xsd:decimal)    |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?other ?otherLabel ?owner ?ownerLabel ?otherStart ?otherEnd WHERE {
  BIND( wd:Q12345 AS ?ship ) .
  ?ship p:P127 ?shipOwnStmt .
  ?shipOwnStmt ps:P127 ?owner .
  ?other p:P127 ?otherOwnStmt .
  ?otherOwnStmt ps:P127 ?owner .
  FILTER ( ?other != ?ship ) .
  OPTIONAL {
    ?otherOwnStmt pq:P580 ?otherStart .
  }
  OPTIONAL {
    ?otherOwnStmt pq:P582 ?otherEnd .
  }
  OPTIONAL {
    ?other rdfs:label ?otherLabel .
    FILTER ( LANG( ?otherLabel ) = "en" )
  }
  OPTIONAL {
    ?owner rdfs:label ?ownerLabel .
    FILTER ( LANG( ?ownerLabel ) = "en" )
  }
}
ORDER BY ?owner ?other

I attempted to find a Wikidata item for a merchant ship named "Edward John" by using search_entity and by running SPARQL queries to look for items whose English label contains "Edward John" or "Edward" and that are instances of ships or merchant vessels. The search_entity calls returned only person items and general matches; SPARQL queries to list labels containing "Edward" repeatedly timed out against the qlever Wikidata endpoint. Because I could not reliably identify the Wikidata Q-ID for a ship named "Edward John" (and because the endpoint timed out for label-based queries), I cannot run a final query that returns the actual items owned by the owner of that ship.

If you can provide the Wikidata Q-ID of the merchant ship "Edward John" (e.g., wd:Q12345) or an exact Wikidata label, I can run a query to get the requested information. Meanwhile, here is my best attempt: a SPARQL query template that, after replacing wd:Q12345 with the ship's real Q-ID, will return other items owned by the ship's owner(s), together with the owners and the start/end times (if available) of each ownership statement. The query follows Wikidata's modeling of qualifiers on P127 (owned by) using the statement node p:P127 / ps:P127 and qualifiers pq:P580 (start time) and pq:P582 (end time). This query returns the IRIs of items and owners and optional English labels.

Best attempt SPARQL query (replace wd:Q12345 with the ship's Wikidata Q-ID):

SELECT ?other ?otherLabel ?owner ?ownerLabel ?otherStart ?otherEnd WHERE {
  BIND(wd:Q12345 AS ?ship) .
  # Owners of the specified ship
  ?ship p:P127 ?shipOwnStmt .
  ?shipOwnStmt ps:P127 ?owner .

  # Other items owned by the same owner
  ?other p:P127 ?otherOwnStmt .
  ?otherOwnStmt ps:P127 ?owner .
  FILTER(?other != ?ship) .

  # Ownership time qualifiers for the other items (optional)
  OPTIONAL { ?otherOwnStmt pq:P580 ?otherStart . }
  OPTIONAL { ?otherOwnStmt pq:P582 ?otherEnd . }

  # Optional English labels for readability
  OPTIONAL { ?other rdfs:label ?otherLabel . FILTER(LANG(?otherLabel) = "en") }
  OPTIONAL { ?owner rdfs:label ?ownerLabel . FILTER(LANG(?ownerLabel) = "en") }
}
ORDER BY ?owner ?other

This query will return the IRIs of the other items (?other) owned by the same owner(s) as the given ship, each owner's IRI (?owner), and the start/end times for each ownership statement if present. Once you provide the ship's Q-ID or an exact Wikidata label for the ship, I will run the query and return the results.

What other items are owned by the owner of the merchant ship Edward John? For each item, please also include its owner, the start (if available) and end times (if available) of ownership .

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What other items are owned by the owner of the merchant ship Edward John? For each item, please also include its owner, the start (if available) and end times (if available) of ownership .

[Assistant] Step 1: I'll search for the entity "merchant ship Edward John" in Wikidata to find its Q-ID. I'll use the search_entity tool.

[Tool]
Top 10 entity alternatives:
1. merchant vessel, also known as trading vessel, trading ship, merchant ship, commercial vessel (wd:Q848944)
2. John Edward (wd:Q3181410): American television personality and professional psychic medium, instance of human, psychic, writer
3. John Merchant (wd:Q12349920): instance of human, Esperantist, merchant
4. Edward John (wd:Q5343768): Canadian politician, instance of human, lawyer
5. Edwards, Edward John (wd:Q96775661): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886, instance of biographical article
6. Jock Edward, also known as John Edward (wd:Q6207326): association football player, instance of human
7. John Johnston, also known as John Johnston (merchant) (wd:Q85771593): Scottish-American bookkeeper and merchant who was a co-founder of New York University, instance of human
8. Johnson, Edward John (wd:Q96779592): entry in the Royal Naval Biography, instance of biographical article
9. John Edward (wd:Q61788598): Scottish civil servant and campaigner (born 1968), instance of human
10. John Edward (wd:Q50276612): instance of double given name, instance of male given name, male compound given name

[Tool]
Top 10 entity alternatives:
1. John Edward (wd:Q3181410): American television personality and professional psychic medium, instance of human, psychic, writer
2. Edward John (wd:Q5343768): Canadian politician, instance of human, lawyer
3. Edwards, Edward John (wd:Q96775661): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886, instance of biographical article
4. Jock Edward, also known as John Edward (wd:Q6207326): association football player, instance of human
5. Johnson, Edward John (wd:Q96779592): entry in the Royal Naval Biography, instance of biographical article
6. John Edward (wd:Q61788598): Scottish civil servant and campaigner (born 1968), instance of human
7. John Edward (wd:Q50276612): instance of double given name, instance of male given name, male compound given name
8. Ted Edwards, also known as Edward Edwards, Edward John Edwards (wd:Q76187837): New Zealand businessman and harness racing driver, owner and trainer, instance of human, businessperson, harness racer
9. John Edward Johnstone, also known as John Johnstone (wd:Q21535368): (1892-1976) deep-sea diver, instance of human
10. John Edward Johnston (wd:Q64620717): instance of human, researcher

[Tool]
Top 10 entity alternatives:
1. John Edward (wd:Q3181410): American television personality and professional psychic medium, instance of human, psychic, writer
2. Edward John (wd:Q5343768): Canadian politician, instance of human, lawyer
3. Edwards, Edward John (wd:Q96775661): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886, instance of biographical article
4. Jock Edward, also known as John Edward (wd:Q6207326): association football player, instance of human
5. Johnson, Edward John (wd:Q96779592): entry in the Royal Naval Biography, instance of biographical article
6. John Edward (wd:Q61788598): Scottish civil servant and campaigner (born 1968), instance of human
7. John Edward (wd:Q50276612): instance of double given name, instance of male given name, male compound given name
8. Ted Edwards, also known as Edward Edwards, Edward John Edwards (wd:Q76187837): New Zealand businessman and harness racing driver, owner and trainer, instance of human, businessperson, harness racer
9. John Edward Johnstone, also known as John Johnstone (wd:Q21535368): (1892-1976) deep-sea diver, instance of human
10. John Edward Johnston (wd:Q64620717): instance of human, researcher

[Assistant] I'll try different searches for a ship named "Edward John" and for ships with similar labels (e.g., with "Edward John" in the label). I'll search for entities with "ship", "vessel", or "SS Edward John".

[Tool]
Top 10 entity alternatives:
1. John Edward (wd:Q3181410): American television personality and professional psychic medium, instance of human, psychic, writer
2. Edward John (wd:Q5343768): Canadian politician, instance of human, lawyer
3. Edwards, Edward John (wd:Q96775661): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886, instance of biographical article
4. Jock Edward, also known as John Edward (wd:Q6207326): association football player, instance of human
5. Johnson, Edward John (wd:Q96779592): entry in the Royal Naval Biography, instance of biographical article
6. John Edward (wd:Q61788598): Scottish civil servant and campaigner (born 1968), instance of human
7. John Edward (wd:Q50276612): instance of double given name, instance of male given name, male compound given name
8. Ted Edwards, also known as Edward Edwards, Edward John Edwards (wd:Q76187837): New Zealand businessman and harness racing driver, owner and trainer, instance of human, businessperson, harness racer
9. John Edward Johnstone, also known as John Johnstone (wd:Q21535368): (1892-1976) deep-sea diver, instance of human
10. John Edward Johnston (wd:Q64620717): instance of human, researcher

[Tool]
Top 10 entity alternatives:
1. John Edward (wd:Q3181410): American television personality and professional psychic medium, instance of human, psychic, writer
2. Edward John (wd:Q5343768): Canadian politician, instance of human, lawyer
3. Edwards, Edward John (wd:Q96775661): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886, instance of biographical article
4. Jock Edward, also known as John Edward (wd:Q6207326): association football player, instance of human
5. Johnson, Edward John (wd:Q96779592): entry in the Royal Naval Biography, instance of biographical article
6. John Edward (wd:Q61788598): Scottish civil servant and campaigner (born 1968), instance of human
7. John Edward (wd:Q50276612): instance of double given name, instance of male given name, male compound given name
8. Ted Edwards, also known as Edward Edwards, Edward John Edwards (wd:Q76187837): New Zealand businessman and harness racing driver, owner and trainer, instance of human, businessperson, harness racer
9. John Edward Johnstone, also known as John Johnstone (wd:Q21535368): (1892-1976) deep-sea diver, instance of human
10. John Edward Johnston (wd:Q64620717): instance of human, researcher

[Assistant] I'll broaden the search to find any Wikidata items whose labels include "Edward John" and are instances of ship or vessel. I'll search for entities with label "Edward" and check their instance-of (P31) for ship-related classes.

[Tool]
Top 10 entity alternatives:
1. John Edward (wd:Q3181410): American television personality and professional psychic medium, instance of human, psychic, writer
2. Edward John (wd:Q5343768): Canadian politician, instance of human, lawyer
3. Edwards, Edward John (wd:Q96775661): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886, instance of biographical article
4. Jock Edward, also known as John Edward (wd:Q6207326): association football player, instance of human
5. Johnson, Edward John (wd:Q96779592): entry in the Royal Naval Biography, instance of biographical article
6. John Edward (wd:Q61788598): Scottish civil servant and campaigner (born 1968), instance of human
7. John Edward (wd:Q50276612): instance of double given name, instance of male given name, male compound given name
8. Ted Edwards, also known as Edward Edwards, Edward John Edwards (wd:Q76187837): New Zealand businessman and harness racing driver, owner and trainer, instance of human, businessperson, harness racer
9. John Edward Johnstone, also known as John Johnstone (wd:Q21535368): (1892-1976) deep-sea diver, instance of human
10. John Edward Johnston (wd:Q64620717): instance of human, researcher

[Assistant] I'll search for ships whose label contains "Edward" and that are instances of ship or merchant vessel.

[Tool]
Top 10 entity alternatives:
1. Edward Shippen, also known as Edward Shippen I (wd:Q4141372): first elected mayor of Philadelphia, Pennsylvania, instance of human, politician
2. Edward Shippen, IV, also known as Edward Shippen IV, Edward Shippen (wd:Q5345313): American judge (1729-1806), instance of human, lawyer, judge
3. Edward Shippen, III, also known as Edward Shippen, Edward Shippen III (wd:Q5345312): American merchant (1703-1781), instance of human, businessperson, politician
4. Edward Shippen, also known as Edward Shippen, MD (wd:Q28357681): instance of human, (1826-1911), writer
5. Edward Shippen [shippedwar026656] (wd:Q103886366): article in Electronic Enlightenment, instance of encyclopedia article
6. Edward Shippen, also known as Edward Shippen VI (wd:Q100937445): president of Bank of the United States in Louisville, Kentucky, instance of human
7. Edward Shippen, also known as Edward Shippen V, Dr. Edward Shippen (wd:Q100936873): instance of human, (1758 - 1809)
8. Edward Shippen (wd:Q46625845): painting by Gilbert Stuart, instance of painting
9. Ted Shipton, also known as Edward Shipton (wd:Q112658017): emeritus professor of anaesthesia at University of Otago, New Zealand, instance of human, researcher
10. George E. Shipley, also known as George Edward Shipley (wd:Q5538788): American politician, instance of human, politician

[Assistant] I will run a SPARQL query to find any Wikidata items whose English label contains "Edward John" and list their instance-of values, so I can identify the correct ship entity. I will explain the query and its results.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Tool]
Top 10 entity alternatives:
1. merchant vessel, also known as trading vessel, trading ship, merchant ship, commercial vessel (wd:Q848944)
2. John Edward (wd:Q3181410): American television personality and professional psychic medium, instance of human, psychic, writer
3. John Merchant (wd:Q12349920): instance of human, Esperantist, merchant
4. Edward John (wd:Q5343768): Canadian politician, instance of human, lawyer
5. Edwards, Edward John (wd:Q96775661): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886, instance of biographical article
6. Jock Edward, also known as John Edward (wd:Q6207326): association football player, instance of human
7. John Johnston, also known as John Johnston (merchant) (wd:Q85771593): Scottish-American bookkeeper and merchant who was a co-founder of New York University, instance of human
8. Johnson, Edward John (wd:Q96779592): entry in the Royal Naval Biography, instance of biographical article
9. John Edward (wd:Q61788598): Scottish civil servant and campaigner (born 1968), instance of human
10. John Edward (wd:Q50276612): instance of double given name, instance of male given name, male compound given name

[Assistant] I will search for ships with "Edward" in their English label to see if there's a match close to "Edward John".

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
I will explain what I tried, why I couldn't find the ship entity, and provide a best-attempt SPARQL query template that will answer your question once we have the Wikidata Q-ID for the merchant ship "Edward John" (or an exact Wikidata label). I couldn't reliably locate an item for a ship named "Edward John" using the endpoint: searches for that label returned only human-person matches and several SPARQL queries timed out against the Wikidata endpoint. Because I can't confidently identify the ship entity from the available search results or complete the searches (timeouts), I can't run a final query that returns real results.

Below is a detailed explanation and a SPARQL query you can run once you provide the Wikidata Q-ID for the ship (replace wd:Q12345 with the ship's actual Q-ID). The query finds the owner(s) of the ship via P127 (owned by), then finds other items owned by the same owner(s), including ownership start (qualifier P580) and end times (P582) if available. It returns IRIs (identifiers) and optional English labels.

I'll now return this explanation and the best_attempt query.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?destroyer ?destroyerLabel ?vclass ?vclassLabel ?op_ship ?op_shipLabel WHERE {
  ?destroyer wdt:P289 ?vclass .
  ?vclass wdt:P279 * wd:Q174736 .
  ?destroyer wdt:P137 ?op_ship .
  FILTER NOT EXISTS {
    ?vclass wdt:P137 ?op_ship .
  }
  OPTIONAL {
    ?destroyer rdfs:label ?destroyerLabel FILTER ( LANG( ?destroyerLabel ) = "en" )
  }
  OPTIONAL {
    ?vclass rdfs:label ?vclassLabel FILTER ( LANG( ?vclassLabel ) = "en" )
  }
  OPTIONAL {
    ?op_ship rdfs:label ?op_shipLabel FILTER ( LANG( ?op_shipLabel ) = "en" )
  }
}
ORDER BY ?vclass ?destroyer ?op_ship

Got 83 rows and 6 columns, showing the first 5 and last 5 rows below:
| destroyer                 | destroyerLabel   | vclass                                              | vclassLabel                               | op_ship                            | op_shipLabel              |
| ------------------------- | ---------------- | --------------------------------------------------- | ----------------------------------------- | ---------------------------------- | ------------------------- |
| ORP Orkan (wd:Q1760614)   | ORP Orkan (en)   | M-class destroyer (wd:Q11880097)                    | M-class destroyer (en)                    | Polish Navy (wd:Q267167)           | Polish Navy (en)          |
| HMS Milne (wd:Q5633393)   | HMS Milne (en)   | M-class destroyer (wd:Q11880097)                    | M-class destroyer (en)                    | Turkish Naval Forces (wd:Q3293295) | Turkish Naval Forces (en) |
| USS Dyson (wd:Q1239245)   | USS Dyson (en)   | Fletcher-class destroyer (wd:Q1428155)              | Fletcher-class destroyer (en)             | Hellenic Navy (wd:Q1129369)        | Hellenic Navy (en)        |
| USS Claxton (wd:Q1463546) | USS Claxton (en) | Fletcher-class destroyer (wd:Q1428155)              | Fletcher-class destroyer (en)             | Hellenic Navy (wd:Q1129369)        | Hellenic Navy (en)        |
| USS Rooks (wd:Q1491896)   | USS Rooks (en)   | Fletcher-class destroyer (wd:Q1428155)              | Fletcher-class destroyer (en)             | Chilean Navy (wd:Q208711)          | Chilean Navy (en)         |
| ...                       | ...              | ...                                                 | ...                                       | ...                                | ...                       |
| Slavnyyy (wd:Q58377234)   | Slavnyyy (en)    | Project 61MP destroyer (wd:Q58380180)               | Project 61MP destroyer (en)               | Russian Navy (wd:Q465283)          | Russian Navy (en)         |
| Provorny (wd:Q4379683)    | Provorny (en)    | Project 61E anti-submarine destroyer (wd:Q58381044) | Project 61E anti-submarine destroyer (en) | Russian Navy (wd:Q465283)          | Russian Navy (en)         |
| HMS Taku (wd:Q133566002)  | HMS Taku (en)    | Hai Long-class destroyer (wd:Q63407282)             | Hai Long-class destroyer (en)             | Royal Navy (wd:Q172771)            | Royal Navy (en)           |
| SMS Lika (wd:Q9326167)    | SMS Lika (en)    | Tátra-class destroyer (wd:Q656992)                  | Tátra-class destroyer (en)                | Imperial German Navy (wd:Q156649)  | Imperial German Navy (en) |
| HNoMS Oslo (wd:Q11979806) | HNoMS Oslo (en)  | C-class destroyer (wd:Q941069)                      | C-class destroyer (en)                    | Royal Norwegian Navy (wd:Q2083573) | Royal Norwegian Navy (en) |

I executed the query on Wikidata and it returned 83 rows. The query lists destroyer vessels (?destroyer) together with their vessel class (?vclass) and the ship operator (?op_ship) where the operator of the ship is not among the operators listed on the vessel class. Example rows include: ORP Orkan — M-class destroyer — Polish Navy; HMS Milne — M-class destroyer — Turkish Naval Forces; USS Dyson — Fletcher-class destroyer — Hellenic Navy; USS Rooks — Fletcher-class destroyer — Chilean Navy; HMS Taku — Hai Long-class destroyer — Royal Navy; SMS Lika — Tátra-class destroyer — Imperial German Navy; HNoMS Oslo — C-class destroyer — Royal Norwegian Navy; and many others. The full set of results (83 rows) is returned by the SPARQL query above.

Which distinct destroyers have an operator not listed in the vessel class's list of operators? For each row, include the vessel class and operator.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which distinct destroyers have an operator not listed in the vessel class's list of operators? For each row, include the vessel class and operator.

[Assistant] Step 1: I'll search for the Wikidata item for "destroyer" and relevant properties: operator (P137), vessel class / ship class (property often P136? Not sure). I'll search for possible properties like "vessel class", "ship class", "operator". I will first find the item for "destroyer". Then I'll inspect common properties used on ship instances (operator P137, "vessel class" property might be P136? I'll search). I'll run entity and property searches now.

[Tool]
Top 10 entity alternatives:
1. destroyer, also known as DD, torpedo boat destroyer, TBD (wd:Q174736)
2. Destroyer (wd:Q833616): 1976 studio album by Kiss, instance of album
3. Andy Ruiz Jr., also known as Destroyer, Andy Ruiz Jr, Andy Ruiz, Andrés Ponce Ruiz (wd:Q4761262): Mexican-American boxer, instance of human, boxer
4. Douglas B-66 Destroyer, also known as EB-66, Destroyer, B-66 Destroyer, B66 (wd:Q372864)
5. Destroyer (wd:Q48672823): 2018 film directed by Karyn Kusama, instance of film
6. BTD Destroyer, also known as Douglas SB2D Destroyer, Douglas Scout Bomber Design 2, Douglas Destroyer, SB2D, SB2D Destroyer (wd:Q1252040)
7. Destroyer, also known as Destroyer, or About How to Philosophize with the Hammer (wd:Q1754949): 1898 studio album by Gorgoroth, instance of album
8. Destroyer (wd:Q2473486): fictional object that appears in comic books published by Marvel Comics, instance of comics character
9. Destroyer (wd:Q608248): instance of musical group, Canadian indie rock band, instance of supergroup
10. Destroyer (wd:Q5265358): 1943 war film directed by William A. Seiter, instance of film

[Tool]
Top 10 property alternatives:
1. vessel class, also known as spacecraft class, watercraft class, submarine class, ship class, class of vessel (wd:P289 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): series of vessels or other watercraft built to the same design of which this vessel is a member, subproperty of instance of
2. vessel, also known as uses vehicle, vessel, vehicle used, vehicle, used vehicle (wd:P1876 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): vessel involved in this mission, navigation or event
3. category for ship name, also known as Commons category for ship name (wd:P7782 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): Commons category for a name of a ship
4. school class, also known as stage, school cohort, grade, class, cohort (wd:P7174 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): (qualifier) class of a given year/time period to which the person belonged in an educational institution
5. class, also known as type (wd:P2308 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): qualifier to define a property constraint in combination with "property constraint" (P2302)
6. subclass of, also known as subcategory of, subgenre of, sort of, subtype of, type of (wd:P279 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
7. item operated, also known as facility operated, fleet, item used, operated, operates (wd:P121 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): equipment, installation or service operated by the subject, subproperty of uses
8. pennant number, also known as hull classification symbol, hull number, pendant number (wd:P879 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the number or designation associated with individual ships, often painted on the hull
9. yard number, also known as hull number (wd:P617 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier of a ship assigned by its builder (shipyard)
10. UN class (wd:P874 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): UN hazard classification code

[Assistant] Next I'll search for the property "operator" to confirm its identifier and usage.

[Tool]
Top 10 property alternatives:
1. operator, also known as operated by, manager, provided by, run by, service operator (wd:P137 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): person, profession, organization or entity that operates the equipment, facility, or service, subproperty of used by
2. item operated, also known as facility operated, fleet, item used, operated, operates (wd:P121 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): equipment, installation or service operated by the subject, subproperty of uses
3. operations and procedures key (OPS), also known as OPS (wd:P1691 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): official classification of operational procedures
4. operating area, also known as operating region, serves geographic region, serves geographic area, serves area, region served (wd:P2541 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, subproperty of location
5. operator licence number, also known as Traffic Commissioners for Great Britain operator license number, Traffic Commissioners for Great ... vehicle operator license number, vehicle operator licence number (wd:P9308 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): British heavy goods vehicle (HGV) and public service vehicle (PSV) operator license number
6. commanded by, also known as captain, commander, commanding officer (wd:P4791 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): commander of a military unit/army/security service, operation, etc.
7. agent of action, also known as initiator, initiated by, done by, doer, being done by (wd:P12995 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): particular item that initiates this action or class of actions
8. amateur radio callsign, also known as call sign, callsign, radio callsign (wd:P5143 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): callsign assigned to licensed Amateur Radio operator, station or satellite
9. call sign, also known as call letters, callsign, code letters (wd:P2317 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): short form identifier for a radio operator or broadcaster and (as flag signal) previous for watercrafts
10. represented by, also known as manager, talent agency, representative, rep, managed by (wd:P1875 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): person or agency that represents or manages the subject

[Assistant] I'll search for an example vessel class such as "Arleigh Burke-class destroyer" to verify how vessel classes and operators are modeled.

[Tool]
Top 10 entity alternatives:
1. Arleigh Burke-class destroyer, also known as Arleigh Burke class (wd:Q674909)
2. destroyer, also known as DD, torpedo boat destroyer, TBD (wd:Q174736)
3. Destroyer (wd:Q833616): 1976 studio album by Kiss, instance of album
4. Andy Ruiz Jr., also known as Destroyer, Andy Ruiz Jr, Andy Ruiz, Andrés Ponce Ruiz (wd:Q4761262): Mexican-American boxer, instance of human, boxer
5. Douglas B-66 Destroyer, also known as EB-66, Destroyer, B-66 Destroyer, B66 (wd:Q372864)
6. Destroyer (wd:Q48672823): 2018 film directed by Karyn Kusama, instance of film
7. BTD Destroyer, also known as Douglas SB2D Destroyer, Douglas Scout Bomber Design 2, Douglas Destroyer, SB2D, SB2D Destroyer (wd:Q1252040)
8. Destroyer, also known as Destroyer, or About How to Philosophize with the Hammer (wd:Q1754949): 1898 studio album by Gorgoroth, instance of album
9. Destroyer (wd:Q2473486): fictional object that appears in comic books published by Marvel Comics, instance of comics character
10. Destroyer (wd:Q608248): instance of musical group, Canadian indie rock band, instance of supergroup

[Tool]
Got 201 rows and 3 columns, showing the first 10 rows below:
| subject                                    | property                         | object                                                                                |
| ------------------------------------------ | -------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------- |
| Arleigh Burke-class destroyer (wd:Q674909) | instance of (wdt:P31)            | ship class (wd:Q559026)                                                                                |
| Arleigh Burke-class destroyer (wd:Q674909) | Commons category (wdt:P373)      | Arleigh Burke class destroyers                                                                                |
| Arleigh Burke-class destroyer (wd:Q674909) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/USS%20Arleigh%20Burke%20%28DDG%2051%29%20steams%20through%20the%20Mediterranean%20Sea.jpg> |
| Arleigh Burke-class destroyer (wd:Q674909) | subclass of (wdt:P279)           | guided missile destroyer (wd:Q2607934)                                                                                |
| Arleigh Burke-class destroyer (wd:Q674909) | inception (wdt:P571)             | 1989-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| Arleigh Burke-class destroyer (wd:Q674909) | short name (wdt:P1813)           | Arleigh Burke (mul)                                                                                |
| Arleigh Burke-class destroyer (wd:Q674909) | country of origin (wdt:P495)     | United States (wd:Q30)                                                                                |
| Arleigh Burke-class destroyer (wd:Q674909) | follows (wdt:P155)               | Kidd-class destroyer (wd:Q246916)                                                                                |
| Arleigh Burke-class destroyer (wd:Q674909) | operator (wdt:P137)              | United States Navy (wd:Q11220)                                                                                |
| Arleigh Burke-class destroyer (wd:Q674909) | topic's main category (wdt:P910) | wd:Q6220653                                                                                |
| ...                                        | ...                              | ...                                                                                |

[Assistant] I'll check ships that have vessel class Arleigh Burke-class destroyer to see how operators are modeled on ships and classes. I'll query for items with P289 = Q674909.

[Tool]
Got 78 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                | object                                     |
| -------------------------------------- | ----------------------- | ------------------------------------------ |
| USS Mahan (wd:Q1041800)                | vessel class (wdt:P289) | Arleigh Burke-class destroyer (wd:Q674909) |
| USS Oscar Austin (wd:Q1041817)         | vessel class (wdt:P289) | Arleigh Burke-class destroyer (wd:Q674909) |
| USS Spruance (wd:Q1042794)             | vessel class (wdt:P289) | Arleigh Burke-class destroyer (wd:Q674909) |
| USS Arleigh Burke (wd:Q1078399)        | vessel class (wdt:P289) | Arleigh Burke-class destroyer (wd:Q674909) |
| USS Winston S. Churchill (wd:Q1081496) | vessel class (wdt:P289) | Arleigh Burke-class destroyer (wd:Q674909) |
| USS Thad Cochran (wd:Q10843685)        | vessel class (wdt:P289) | Arleigh Burke-class destroyer (wd:Q674909) |
| USS John Paul Jones (wd:Q1187838)      | vessel class (wdt:P289) | Arleigh Burke-class destroyer (wd:Q674909) |
| USS John S. McCain (wd:Q1195559)       | vessel class (wdt:P289) | Arleigh Burke-class destroyer (wd:Q674909) |
| USS Charles J. French (wd:Q124282617)  | vessel class (wdt:P289) | Arleigh Burke-class destroyer (wd:Q674909) |
| USS Gridley (wd:Q1306329)              | vessel class (wdt:P289) | Arleigh Burke-class destroyer (wd:Q674909) |
| ...                                    | ...                     | ...                                        |

[Assistant] Now I'll run a test query to find destroyer ships (?destroyer) whose vessel class (?vclass) is a subclass of "destroyer" (wd:Q174736), where the ship has an operator (?op_ship) and the operator is not listed among the class's operators. I'll request labels for readability. I'll limit to 50 to get sample results.

[Tool]
Got 50 rows and 6 columns, showing the first 5 and last 5 rows below:
| destroyer                             | destroyerLabel               | vclass                                                        | vclassLabel                                         | op_ship                            | op_shipLabel              |
| ------------------------------------- | ---------------------------- | ------------------------------------------------------------- | --------------------------------------------------- | ---------------------------------- | ------------------------- |
| USS Trathen (wd:Q7874839)             | USS Trathen (en)             | Almirante Brown-class Fletcher-class destroyer (wd:Q47698891) | Almirante Brown-class Fletcher-class destroyer (en) | United States Navy (wd:Q11220)     | United States Navy (en)   |
| USS Bradford (wd:Q7867820)            | USS Bradford (en)            | Fletcher-class destroyer (wd:Q1428155)                        | Fletcher-class destroyer (en)                       | Hellenic Navy (wd:Q1129369)        | Hellenic Navy (en)        |
| USS Hall (wd:Q7869966)                | USS Hall (en)                | Fletcher-class destroyer (wd:Q1428155)                        | Fletcher-class destroyer (en)                       | Hellenic Navy (wd:Q1129369)        | Hellenic Navy (en)        |
| USS Ringgold (wd:Q2470873)            | USS Ringgold (en)            | Fletcher-class destroyer (wd:Q1428155)                        | Fletcher-class destroyer (en)                       | Hellenic Navy (wd:Q1129369)        | Hellenic Navy (en)        |
| USS Wadsworth (wd:Q2471524)           | USS Wadsworth (en)           | Fletcher-class destroyer (wd:Q1428155)                        | Fletcher-class destroyer (en)                       | Hellenic Navy (wd:Q1129369)        | Hellenic Navy (en)        |
| ...                                   | ...                          | ...                                                           | ...                                                 | ...                                | ...                       |
| USS Clarence K. Bronson (wd:Q7868381) | USS Clarence K. Bronson (en) | Fletcher-class destroyer (wd:Q1428155)                        | Fletcher-class destroyer (en)                       | Turkish Naval Forces (wd:Q3293295) | Turkish Naval Forces (en) |
| USS Cogswell (wd:Q7868431)            | USS Cogswell (en)            | Fletcher-class destroyer (wd:Q1428155)                        | Fletcher-class destroyer (en)                       | Turkish Naval Forces (wd:Q3293295) | Turkish Naval Forces (en) |
| Dimyāṭ (wd:Q131198295)                | Dimyāṭ (en)                  | Project 30bis-class destroyer (wd:Q583164)                    | Project 30bis-class destroyer (en)                  | Egyptian Navy (wd:Q382551)         | Egyptian Navy (en)        |
| Žarkij (wd:Q10271270)                 | Žarkij (en)                  | Lieutenant Pushchin-class destroyer (wd:Q4532693)             | Lieutenant Pushchin-class destroyer (en)            | Russian State (wd:Q4398229)        | Russian State (en)        |
| Žarkij (wd:Q10271270)                 | Žarkij (en)                  | Lieutenant Pushchin-class destroyer (wd:Q4532693)             | Lieutenant Pushchin-class destroyer (en)            | South Russia (wd:Q4533605)         | South Russia (en)         |

[Assistant] I'll run the final SPARQL query that finds destroyer ships (?destroyer) with a vessel class (?vclass) that is (a subclass of) destroyer and where the ship's operator (?op_ship) is not listed among the class's operators. I include labels as OPTIONALs for readability. Now executing the query to verify results.

[Tool]
Got 83 rows and 6 columns, showing the first 5 and last 5 rows below:
| destroyer                 | destroyerLabel   | vclass                                              | vclassLabel                               | op_ship                            | op_shipLabel              |
| ------------------------- | ---------------- | --------------------------------------------------- | ----------------------------------------- | ---------------------------------- | ------------------------- |
| ORP Orkan (wd:Q1760614)   | ORP Orkan (en)   | M-class destroyer (wd:Q11880097)                    | M-class destroyer (en)                    | Polish Navy (wd:Q267167)           | Polish Navy (en)          |
| HMS Milne (wd:Q5633393)   | HMS Milne (en)   | M-class destroyer (wd:Q11880097)                    | M-class destroyer (en)                    | Turkish Naval Forces (wd:Q3293295) | Turkish Naval Forces (en) |
| USS Dyson (wd:Q1239245)   | USS Dyson (en)   | Fletcher-class destroyer (wd:Q1428155)              | Fletcher-class destroyer (en)             | Hellenic Navy (wd:Q1129369)        | Hellenic Navy (en)        |
| USS Claxton (wd:Q1463546) | USS Claxton (en) | Fletcher-class destroyer (wd:Q1428155)              | Fletcher-class destroyer (en)             | Hellenic Navy (wd:Q1129369)        | Hellenic Navy (en)        |
| USS Rooks (wd:Q1491896)   | USS Rooks (en)   | Fletcher-class destroyer (wd:Q1428155)              | Fletcher-class destroyer (en)             | Chilean Navy (wd:Q208711)          | Chilean Navy (en)         |
| ...                       | ...              | ...                                                 | ...                                       | ...                                | ...                       |
| Slavnyyy (wd:Q58377234)   | Slavnyyy (en)    | Project 61MP destroyer (wd:Q58380180)               | Project 61MP destroyer (en)               | Russian Navy (wd:Q465283)          | Russian Navy (en)         |
| Provorny (wd:Q4379683)    | Provorny (en)    | Project 61E anti-submarine destroyer (wd:Q58381044) | Project 61E anti-submarine destroyer (en) | Russian Navy (wd:Q465283)          | Russian Navy (en)         |
| HMS Taku (wd:Q133566002)  | HMS Taku (en)    | Hai Long-class destroyer (wd:Q63407282)             | Hai Long-class destroyer (en)             | Royal Navy (wd:Q172771)            | Royal Navy (en)           |
| SMS Lika (wd:Q9326167)    | SMS Lika (en)    | Tátra-class destroyer (wd:Q656992)                  | Tátra-class destroyer (en)                | Imperial German Navy (wd:Q156649)  | Imperial German Navy (en) |
| HNoMS Oslo (wd:Q11979806) | HNoMS Oslo (en)  | C-class destroyer (wd:Q941069)                      | C-class destroyer (en)                    | Royal Norwegian Navy (wd:Q2083573) | Royal Norwegian Navy (en) |

[Assistant] I have a working query that returns destroyer ships whose operator is not among the class's operators. Now per the instructions, I must explain my thought process before and after each step and function call. I have been doing that in comments. Now I will provide the final SPARQL query and the answer.

[Tool] Stopped generation process